Leveraging an Open Source Data Warehousing and Analytics Tool to Promote Longitudinal Research, Improve Knowledge Transfer and Avoid Redundancy Across Research Studies. - Thomas Nutman; Karla Feghali; Alex Rosenthal; Tom Britten; Joe Croghan; Usman Sheikh; David Hardison (AMIA, 2015)

Methods for Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus. - Roman Sergeev; Ivan Kavaliou; Andrei E. Gabrielian; Alex Rosenthal; Alexander Tuzikov (ISBRA, 2016)

DBAASP v.2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides. - Malak Pirtskhalava; Andrei E. Gabrielian; Phillip Cruz; Hannah L. Griggs; R. Burke Squires; Darrell E. Hurt; Maia Grigolava; Mindia Chubinidze; George Gogoladze; Boris Vishnepolsky; Vsevolod Alekseev; Alex Rosenthal; et al. (Nucleic Acids Res., 2016)

ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis. - Vitali Liauchuk; Aleh Tarasau; Eduard Snezhko; Vassili Kovalev; Andrei E. Gabrielian; Alex Rosenthal (CLEF (Working Notes), 2018)

Detecting drug-resistant tuberculosis in chest radiographs. - Stefan Jäger 001; Octavio H. Juarez-Espinosa; Sema Candemir; Mahdieh Poostchi; Feng Yang 010; Lewis Kim; Meng Ding; Les R. Folio; Sameer K. Antani; Andrei E. Gabrielian; Darrell E. Hurt; Alex Rosenthal; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Predictive Model of Linear Antimicrobial Peptides Active against Gram-Negative Bacteria. - Boris Vishnepolsky; Andrei E. Gabrielian; Alex Rosenthal; Darrell E. Hurt; Michael Tartakovsky; Grigol Managadze; Maya Grigolava; George I. Makhatadze; Malak Pirtskhalava (J. Chem. Inf. Model., 2018)

Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-Learning Approach. - Roman Sergeev; Ivan Kavaliou; Uladzislau V. Sataneuski; Andrei E. Gabrielian; Alex Rosenthal; Michael Tartakovsky; Alexander V. Tuzikov (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Automated Drug-Resistant TB Screening: Importance of Demographic Features and Radiological Findings in Chest X-Ray. - Feng Yang 010; Hang Yu; Karthik Kantipudi; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; Stefan Jaeger 001 (AIPR, 2021)

The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration. - Alyssa Long; Alexander Glogowski; Matthew Meppiel; Lisa De Vito; Eric Engle; Michael Harris; Grace Ha; Darren Schneider; Andrei E. Gabrielian; Darrell E. Hurt; Alex Rosenthal (J. Am. Medical Informatics Assoc., 2021)

DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics. - Malak Pirtskhalava; Anthony A. Amstrong; Maia Grigolava; Mindia Chubinidze; Evgenia Alimbarashvili; Boris Vishnepolsky; Andrei E. Gabrielian; Alex Rosenthal; Darrell E. Hurt; Michael Tartakovsky (Nucleic Acids Res., 2021)

Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction. - Boris Vishnepolsky; Maya Grigolava; Grigol Managadze; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Michael Tartakovsky; Malak Pirtskhalava (Briefings Bioinform., 2022)

Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genome. - Maximillian G. Marin; Roger Vargas; Michael Harris; Brendan Jeffrey; L. Elaine Epperson; David Durbin; Michael Strong; Max Salfinger; Zamin Iqbal; Irada Akhundova; Sergo Vashakidze; Valeriu Crudu; et al. (Bioinform., 2022)

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models. - Lin Guo; Kunlei Hong; Ziqi Zhang; Bin Zheng 001; Stefan Jaeger 001; Jordan D. Fuhrman; Hui Li 024; Maryellen L. Giger; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; et al. (Computer-Aided Diagnosis, 2023)

Combining Radiological and Genomic TB Portals Data for Drug Resistance Analysis. - Vy C. B. Bui; Ziv Yaniv; Michael Harris; Feng Yang 010; Karthik Kantipudi; Darrell E. Hurt; Alex Rosenthal; Stefan Jäger 001 (IEEE Access, 2023)